abd-clam

View on PyPIReverse Dependencies (0)

0.22.3 abd_clam-0.22.3-py3-none-any.whl

Wheel Details

Project: abd-clam
Version: 0.22.3
Filename: abd_clam-0.22.3-py3-none-any.whl
Download: [link]
Size: 45977
MD5: 6c85e8368a307e407f2e36b380e935a3
SHA256: be3c479db9f951e6133ed48dfa486e23d3d600a55893461afb50a2586dca66e1
Uploaded: 2023-10-09 01:09:52 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: abd-clam
Version: 0.22.3
Summary: Clustered Learning of Approximate Manifolds
Author: Najib Ishaq
Author-Email: najib_ishaq[at]zoho.com
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.9,<3.12
Requires-Dist: numpy (<2.0.0,>=1.24.3)
Requires-Dist: scikit-learn (<2.0.0,>=1.2.2)
Requires-Dist: scipy (<2.0.0,>=1.10.1)
Description-Content-Type: text/markdown
[Description omitted; length: 1725 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.7.0
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
abd_clam/__init__.py sha256=Ao5VOmzaqwyN3ZSGbRPHyOnCQ98bS9YERwdUS7TlQe0 612
abd_clam/anomaly_detection/__init__.py sha256=SGmfJiSKqmrmIZq8n162nziR6fCBG8ZwT2_obbv9B4Q 375
abd_clam/anomaly_detection/anomaly_dataset.py sha256=z7fZBG3yWYwsw12HJ9nZc-kuHFwSQoc24TeK1h5koIc 2537
abd_clam/anomaly_detection/anomaly_space.py sha256=Xlw4TiumNyo4GxIetBvbC6G00pLQ17nwD_YLXEbZXTE 3079
abd_clam/anomaly_detection/chaoda.py sha256=7FHzy6dv_8e81pTYdoATNptfeV7WmOJCFO09X289JWQ 12382
abd_clam/anomaly_detection/graph_scorers.py sha256=FT_SXI2qUOvilPN1SQvOhIzzAg2Srg4C-QArkmGz_PA 13798
abd_clam/anomaly_detection/meta_ml.py sha256=1Z191aUQbYVcNiwcrJvmesOc1ZN-JnFsbvjTPvvShiM 6086
abd_clam/anomaly_detection/pretrained_models.py sha256=9KASxTbi6ycN24qrCsRJk98u20KbUQqh7GEN1VwxweI 14627
abd_clam/anomaly_detection/training.py sha256=P5EN9G04ngsbQGaOyqa50Pv9h_d4fOCEBXI6-NtcYLA 10373
abd_clam/classification/__init__.py sha256=rNPj07CZDLadNACujfP65Cc-WAM1PvdqD7514MzrUlE 103
abd_clam/classification/classifier.py sha256=f7phk8Ej2rauGhZ2TUAaWVQEmNCdcqgAeNfbA7Xp_IM 3555
abd_clam/core/__init__.py sha256=mb2usAlxhAxbc7972WA6cTyPDMguBvXPrw88K9hpOvw 518
abd_clam/core/cluster.py sha256=YyJ7qx-N8h9WRnEU4_gPR2Tfpzprmm758X7VQub78tQ 25692
abd_clam/core/cluster_criteria.py sha256=PZOuzPM9La-Wi5wNWKe8cE21Nzu24a6klprWdD5gWXY 1930
abd_clam/core/dataset.py sha256=hXKTv9LZRabl2CEuvGEc__5Pq1EKDjKmKNVs4ioR3uY 7153
abd_clam/core/graph.py sha256=psuEIga5Rds-8iUjAwNpfvLNHG0fsWOwoUFbnGhDevs 15421
abd_clam/core/graph_criteria.py sha256=9ik8JoIDUKhaturnYG4PxFqzz3ORJZxw4jtyzuevJLw 8340
abd_clam/core/metric.py sha256=H6jf5ljlHal33Y4GRBw-ZTQqB24Cxs_pB5hswjbSFqU 4415
abd_clam/core/space.py sha256=kAb54FKBKE2sghTqzNerOHpOEJwRlEUpyYuEyjA4TUE 8615
abd_clam/search/__init__.py sha256=P5TFf8lG3H61pmVWRDzGAIR5ULrjMhKBKon6ghOVB60 98
abd_clam/search/cakes.py sha256=N4LSMGwODGIooWtptfaiASWvmLD6D1FoPszovO-l9Pw 9234
abd_clam/utils/__init__.py sha256=4lHeytUhBeSQyJgN--6cR5FHMxOPmA_aGlUyiUvrqlU 117
abd_clam/utils/constants.py sha256=31f0TB5_X49U0WbLXIdfCbPff6NzFGIB44oMfUjHGJM 1299
abd_clam/utils/helpers.py sha256=G-akoM6y-UI6f8aorB3yIXW6331_nQUICW_SkSVsHEU 1712
abd_clam/utils/synthetic_data.py sha256=kcPtMC38ZwX6GXNJh6cwq9jBkwMYAkOLhdrQdipceG4 5176
abd_clam-0.22.3.dist-info/LICENSE sha256=Wh2Ark3jPaCPr_j20drSpsnQnySEfbwrjElt6t7zqV4 1064
abd_clam-0.22.3.dist-info/METADATA sha256=Pf6Z97C2lnOzU2cRuKp5UoZvUKV6ivp35MWYH8ZexpE 2343
abd_clam-0.22.3.dist-info/WHEEL sha256=d2fvjOD7sXsVzChCqf0Ty0JbHKBaLYwDbGQDwQTnJ50 88
abd_clam-0.22.3.dist-info/RECORD